利用微粒子群优化的同时定位和映射

2015 10th System of Systems Engineering Conference (SoSE) Pub Date : 2015-05-17 DOI:10.1109/SYSOSE.2015.7151956

Chris Monfredo, F. Sahin

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引用次数: 3

摘要

扫描匹配是一种计算机器人位置的常用方法，它给出了与环境中物体相对应的距离数据。本文提出了一种基于微粒子群优化的同步定位与映射算法，作为传统扫描匹配算法的替代方案。对该算法的有效性进行了测试，并与其他流行的同步和定位算法进行了比较。

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Simultaneous localization and mapping using a micro-particle swarm optimization

Scan matching is a popular way of calculating a robot's position given range data corresponding to objects in the environment. This paper proposes a simultaneous localization and mapping algorithm that uses micro-particle swarm optimization as an alternative method to the traditional scan matching algorithms. The effectiveness of this algorithm is tested and compared to other popular simultaneous and localization algorithms.

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2015 10th System of Systems Engineering Conference (SoSE)

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